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I recently tried to annotate two assembled metagenome samples derived from the same sample type (both samples come from the same type of material) using blastp and the metagene gene predictor tool (via WebMGA). I get a similar number of ORFs predictions for both samples. However after I input these ORF predictions into blastp (same settings for both samples) the number of blastp outputs for one sample were much higher than for the other sample. Why would I get more blastp hits for samples with a similar number of ORFs predicted?
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Non-coding RNAs (ncRNAs) do not code for proteins but play important roles in numerous cellular processes including gene silencing, developmental pathways, and more. There are numerous types including microRNA (miRNA), long ncRNA (lncRNA), circular RNA (circRNA), and more. In this article, we discuss innovative ncRNA research and explore recent technological advancements that improve the study of ncRNAs.
Nobel Prize for MicroRNA Discovery
This week,...10-07-2024, 08:07 AM -
Metagenomics has improved the way researchers study microorganisms across diverse environments. Historically, studying microorganisms relied on culturing them in the lab, a method that limits the investigation of many species since most are unculturable1. Metagenomics overcomes these issues by allowing the study of microorganisms regardless of their ability to be cultured or the environments they inhabit. Over time, the field has evolved, especially with the advent...09-23-2024, 06:35 AM